A novel data storage logic in the cloud [version 3; referees: 2 approved, 1 not approved]
Databases which store and manage long-term scientific information related to life science are used to store huge amount of quantitative attributes. Introduction of a new entity attribute requires modification of the existing data tables and the programs that use these data tables. A feasible solutio...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
F1000 Research Ltd
2017-08-01
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| Series: | F1000Research |
| Subjects: | |
| Online Access: | https://f1000research.com/articles/5-93/v3 |
| Summary: | Databases which store and manage long-term scientific information related to life science are used to store huge amount of quantitative attributes. Introduction of a new entity attribute requires modification of the existing data tables and the programs that use these data tables. A feasible solution is increasing the virtual data tables while the number of screens remains the same. The main objective of the present study was to introduce a logic called Joker Tao (JT) which provides universal data storage for cloud-based databases. It means all types of input data can be interpreted as an entity and attribute at the same time, in the same data table. |
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| ISSN: | 2046-1402 |